Traditional AI models learn from structured data and are optimized for outcomes like classification, forecasting or ...

This is a preview. Log in through your library . Abstract This research essay highlights the need to integrate predictive analytics into information systems research and shows several concrete ways in ...

A new model using genomic and pathological data improves prognostic accuracy for advanced NSCLC, aiding personalized treatment plans. Traditional indicators like tumor mutational burden and PD-L1 ...

Finbots make too many mistakes, lack predictive power and tend to miss the big picture, according to Bernstein Research ...

The intersection of artificial intelligence and healthcare continues to unlock unprecedented opportunities for improving patient outcomes and operational efficiency. As healthcare organizations ...

AI transforms RF engineering through neural networks that predict signal behavior and interference patterns, enabling ...

What if a robot knows you're about to be fired before you do? A new study finds that AI uses five "firing signals" to decide ...

Modern platforms enable smarter, faster decision-making, powered by real-time data and flexible, cloud-native tools.

As per a report, the United States gaming market is estimated at USD 63.36 billion in 2025, and is expected to reach USD ...

If you’re a restaurant franchise operator or QSR brand leader, you’re in the middle of a data war. While you’re juggling site ...